Results 111 to 120 of about 6,095 (211)

Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang   +5 more
doaj   +1 more source

Joint superpixel and Transformer for high resolution remote sensing image classification

open access: yesScientific Reports
Deep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and superpixel segmentation use ...
Guangpu Dang   +9 more
doaj   +1 more source

Corrosion defect segmentation method based on superpixel feature cascade

open access: yesAin Shams Engineering Journal
To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun   +3 more
doaj   +1 more source

Computer Vision with a Superpixelation Camera

open access: yesCoRR
Conventional cameras generate a lot of data that can be challenging to process in resource-constrained applications. Usually, cameras generate data streams on the order of the number of pixels in the image. However, most of this captured data is redundant for many downstream computer vision algorithms.
Sasidharan Mahalingam   +2 more
openaire   +3 more sources

Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation

open access: yesIEEE Photonics Journal
Realizing a spatial phase modulation (SPM) from 0 to 2π is vital for achieving precise light field manipulation, when the phase-only spatial light modulator (SLM) is driven by the voltage. However, insufficient bias voltage degrades the quality of
Ruhao Zhao   +7 more
doaj   +1 more source

Unsupervised instance segmentation with superpixels

open access: yesPattern Recognition
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire   +3 more sources

Superpixel Salient Object Detection

open access: yes
Salient object detection (SOD) is a core problem in computer vision that involves identifying and segmenting the most visually prominent regions in an image.
Park, Jinman
core  

Adaptive high-precision superpixel segmentation

open access: yes, 2019
Adaptive high-precision superpixel ...
G Xie (11832605)   +3 more
core  

Superpixel Segmentation Systems: Design and Analysis

open access: yes, 2019
Image segmentation is a partitioning of an image into distinct groups of pixels (“regions”), each region preferably spatially connected, where each region ideally corresponds to an object or other semantically meaningful scene component.
Malladi, Sree Ramya Surya Prabha
core   +1 more source

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